Evidence map›Paper›PMID 27773922›Full record

ReviewNature reviews. Genetics2016

The state of play in higher eukaryote gene annotation.

Jonathan M Mudge, Jennifer Harrow

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

125 citing papers in PubMed, 133 citations in OpenAlex.

  1. Article
  2. Gene model for the ortholog ofbioRxiv : the preprint server for biology · 2026
    Article
  3. Gene model for the ortholog ofbioRxiv : the preprint server for biology · 2026
    Article
  4. Gene model for the ortholog ofbioRxiv : the preprint server for biology · 2026
    Article
  5. Gene model for the ortholog ofbioRxiv : the preprint server for biology · 2026
    Article
  6. Gene model for the ortholog ofbioRxiv : the preprint server for biology · 2026
    Article
  7. Gene model for the ortholog ofbioRxiv : the preprint server for biology · 2026
    Article
  8. Gene model for the ortholog ofbioRxiv : the preprint server for biology · 2026
    Article
  9. Gene model for the ortholog ofbioRxiv : the preprint server for biology · 2026
    Article
  10. Gene model for the ortholog ofbioRxiv : the preprint server for biology · 2026
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  11. Review
  12. Article
  13. Gene model for the ortholog ofbioRxiv : the preprint server for biology · 2026
    Article
  14. Article
  15. Gene model for the ortholog ofbioRxiv : the preprint server for biology · 2026
    Article
  16. Gene model for the ortholog ofmicroPublication biology · 2026
    Article
  17. Gene model for the ortholog ofmicroPublication biology · 2026
    Article
  18. Article
  19. Gene model for the ortholog ofmicroPublication biology · 2026
    Article
  20. Gene model for the ortholog ofmicroPublication biology · 2026
    Article

65 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jonathan M MudgeDepartment of Computational Genomics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK.
Jennifer HarrowDepartment of Computational Genomics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK.
Wellcome Sanger Institute · GB

Funding

GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
NHGRI NIH HHS U41 HG007234
6 · The paper itself

Abstract

A genome sequence is worthless if it cannot be deciphered; therefore, efforts to describe - or 'annotate' - genes began as soon as DNA sequences became available. Whereas early work focused on individual protein-coding genes, the modern genomic ocean is a complex maelstrom of alternative splicing, non-coding transcription and pseudogenes. Scientists - from clinicians to evolutionary biologists - need to navigate these waters, and this has led to the design of high-throughput, computationally driven annotation projects. The catalogues that are being produced are key resources for genome exploration, especially as they become integrated with expression, epigenomic and variation data sets. Their creation, however, remains challenging.

Indexed as

AnimalsEukaryotaGenomicsHumansMolecular Sequence AnnotationSequence Analysis, DNA

Identifiers

PMID27773922
PMCPMC5876476
OpenAlexW2538372025

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.